Robust fault-tolerant control for switched systems based on adaptive unknown input observer

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Communications in Nonlinear Science and Numerical Simulation Pub Date : 2024-11-15 DOI:10.1016/j.cnsns.2024.108416
Yujun Zhao , Guochen Pang , Xiangyong Chen , Jianlong Qiu , Jinde Cao
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Abstract

This paper investigates the problem of fault diagnosis and fault-tolerant control in switched systems with actuator fault under unknown input disturbances. Initially, an adaptive unknown input observer capable of rapidly estimating faults was designed, incorporating proportional terms to enhance the response speed of fault estimation. Subsequently, by employing the average dwell time approach and using Lyapunov functions, the globally uniformly asymptotically stable of the error system under the H performance index was proven. Following this, a state feedback controller was constructed using the state and error estimates from the observer, thereby guaranteeing closed-loop system stability even when faults occur. Finally, the effectiveness of the proposed method was validated through simulation examples.
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基于自适应未知输入观测器的开关系统鲁棒容错控制
本文研究了在未知输入干扰条件下,带有执行器故障的开关系统的故障诊断和容错控制问题。首先,设计了一种能够快速估计故障的自适应未知输入观测器,并加入了比例项以提高故障估计的响应速度。随后,通过采用平均停留时间方法和利用 Lyapunov 函数,证明了误差系统在 H∞ 性能指标下的全局均匀渐近稳定。随后,利用观测器的状态和误差估计构建了一个状态反馈控制器,从而保证了闭环系统在故障发生时的稳定性。最后,通过仿真实例验证了所提方法的有效性。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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